Business Case: Aerofit - Descriptive Statistics & Probability
Customer Segmentation & Business Analytics for Aerofit Fitness Equipment
Business case study - Data Science and machine learning
This project analyzes AeroFit’s treadmill customer dataset to uncover patterns in demographics, fitness behaviour and income & to profile customers for each treadmill model (KP281, KP481, KP781). The analysis includes descriptive statistics, probability calculations and visualizations to provide insights for targeted marketing & product suggestions
Business Case : Aerofit - Descriptive Stats & Probability
Analyzed customer characteristics using user counts, probabilities, and conditional probabilities to profile target audiences for AeroFit's treadmill portfolio. Delivered actionable insights to recommend the most suitable treadmill model—entry-level, mid-level, or advanced—to new customers, enhancing product alignment with user needs.
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